A Comparison of Regression and Loading Weights for the Computation of Factor Scores

Multivariate Behavioral Research
J W Grice, R J Harris

Abstract

An alternative strategy for computing factor scores was introduced and compared to a popular contemporary scoring procedure. The new strategy involved unit-weighted composites of the standardized items that possessed salient factor score coefficients. Within the context of a sampling model, this strategy was shown to be superior to the common method of computing factor scores by unit-weighting and summing the standardized items with salient factor structure coefficients. Specifically, the new strategy produced factor scores that (a) captured a greater proportion of the true score variance of the factors, (b) were less confounded by true scores from factors other than those they were supposed to be estimates of, and (c) were less correlated with one another when the underlying factor structure was truly orthogonal. The implications of these findings were discussed within the context of two general applications of factor analysis, and practical recommendations were offered.

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Citations

May 10, 2001·Journal of Clinical Psychology·A M Pomerantz, J W Grice
Jul 7, 2011·The American Journal of Orthopsychiatry·Alyson F ShapiroKristi Content
Mar 2, 2016·The American Journal of Tropical Medicine and Hygiene·Hailay D TeklehaimanotMustofa Abdella
Sep 14, 2006·Journal of Gambling Studies·Heather Chalmers, Teena Willoughby
Jan 1, 2014·Multivariate Behavioral Research·John J McArdle, Scott M Hofer
Feb 15, 2013·American Journal of Epidemiology·Arna HauksdóttirUnnur A Valdimarsdóttir
Mar 16, 2021·Journal of Child Psychology and Psychiatry, and Allied Disciplines·Jamilah SilverDaniel N Klein
Nov 16, 2011·Journal of Affective Disorders·Sarah E CanningLouise Dye
Apr 5, 2001·Psychological Methods·J W Grice

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